Metabolomics-Based Biosignatures of Prostate Cancer in Patients Following Radiotherapy.

biomarkers and diagnostics mass spectrometry parsimony phylogenetics prostate cancer radiotherapy untargeted (global) metabolomics

Journal

Omics : a journal of integrative biology
ISSN: 1557-8100
Titre abrégé: OMICS
Pays: United States
ID NLM: 101131135

Informations de publication

Date de publication:
04 2019
Historique:
entrez: 23 4 2019
pubmed: 23 4 2019
medline: 9 4 2020
Statut: ppublish

Résumé

Metabolomics offers new promise for research on prostate cancer (PCa) and its personalized treatment. Metabolomic profiling of radiation-treated PCa patients is particularly important to reveal their new metabolomic status, and evaluate the radiation effects. In addition, bioinformatics-integrated metabolomics-based approaches for disease profiling and assessment of therapy could help develop precision biomarkers in a context of PCa. We report mass spectrometry-based untargeted (global) serum metabolomics findings from patients with PCa (

Identifiants

pubmed: 31009330
doi: 10.1089/omi.2019.0006
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

214-223

Auteurs

Sinem Nalbantoglu (S)

1 Department of Biochemistry, Cellular and Molecular Biology, School of Medicine, Georgetown University, Washington, District of Columbia.
2 TUBITAK Marmara Research Center, Institute of Gene Engineering and Biotechnology, Molecular Oncology Laboratory, Gebze, Kocaeli, Turkey.

Mones Abu-Asab (M)

3 Section of Ultrastructural Biology, NEI/NIH, Bethesda, Maryland.

Simeng Suy (S)

4 Department of Radiation Oncology, School of Medicine, Georgetown University, Washington, District of Columbia.

Sean Collins (S)

4 Department of Radiation Oncology, School of Medicine, Georgetown University, Washington, District of Columbia.

Hakima Amri (H)

1 Department of Biochemistry, Cellular and Molecular Biology, School of Medicine, Georgetown University, Washington, District of Columbia.

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Classifications MeSH